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RedNote
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- https://orcid.org/0009-0003-4986-1098
Lists (7)
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KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
Mixture-of-experts (MoE) training megakernel for NVL72s
Reference implementation and examples of the CuTe Layout representation and algebra.
MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts
PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant refe…
A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.
Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
(ECCV 2026): Official code for Flash-BoN: Instant Drafts for Inference-Time Scaling in Diffusion Models
A library for efficient similarity search and clustering of dense vectors.
👩🏿💻👨🏾💻👩🏼💻👨🏽💻👩🏻💻中国独立开发者项目列表 -- 分享大家都在做什么
High-performance GPU kernels written in TIRx.
The open-source CapCut alternative
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
TurboServe: Serving Streaming Video Generation Efficiently and Economically
A tutorial on modern GPU programming for machine learning systems
Our library for RL environments + evals
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes…
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning